Search results for " recognition"

showing 10 items of 3220 documents

Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Reson…

2015

International audience; This work aimed at combining different segmentation approaches to produce a robust and accurate segmentation result. Three to five segmentation results of the left ventricle were combined using the STAPLE algorithm and the reliability of the resulting segmentation was evaluated in comparison with the result of each individual segmentation method. This comparison was performed using a supervised approach based on a reference method. Then, we used an unsupervised statistical evaluation, the extended Regression Without Truth (eRWT) that ranks different methods according to their accuracy in estimating a specific bio-marker in a population. The segmentation accuracy was …

[SDV.IB] Life Sciences [q-bio]/Bioengineeringlcsh:RMagnetic Resonance Imaging CineReproducibility of Resultslcsh:MedicineStroke VolumeImage EnhancementVentricular Function LeftPattern Recognition AutomatedImage Interpretation Computer-AssistedHumanslcsh:Q[SDV.IB]Life Sciences [q-bio]/Bioengineering[ SDV.IB ] Life Sciences [q-bio]/Bioengineeringlcsh:ScienceAlgorithmsResearch Article
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Terahertz Biomedical Imaging: From Multivariate Analysis and Detection to Material Parameter Extraction

2017

Terahertz imaging is an interesting route for biomedical analysis. In particular, cancer imaging is a subject of study for different teams [1,2]. A work is done in Bordeaux in partnership with a hospital to do terahertz analysis of breast tissue. This work is done in reflection with time domain imaging setup with fresh samples. The aim is to accurately assess tumor margins and which could in the future allow a quick validation of the precision of the surgical procedure and know if new surgery should be performed. We have presented in a previous paper [3] the use of automatic methods of image generation with different parameters [4] in order to explore the different contrasts that exist in t…

[SDV.MHEP.AHA] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]Multivariate statisticsMultivariate analysis[SPI.OPTI] Engineering Sciences [physics]/Optics / PhotonicTerahertz radiationComputer science[SDV.CAN]Life Sciences [q-bio]/Cancer01 natural sciences010309 optics[SDV.CAN] Life Sciences [q-bio]/CancerComponent analysis0103 physical sciencesMedical imagingElectronic engineering[SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]Entropy (information theory)Time domainComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry0402 animal and dairy sciencePattern recognition04 agricultural and veterinary sciences040201 dairy & animal science3. Good healthFrequency domain[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Procede de commande de pulverisation, dispositif et programme correspondant

2020

[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciences[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
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Induced resistance in grapevine : from concept to vineyard application

2012

International audience

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesPlasmopara viticolaPathogen-Associated Molecular Pattern (PAMP)Pattern Recognition Receptor (PRR)primingComputingMilieux_MISCELLANEOUS
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Induced resistance in grapevine: from concept to vineyard application

2012

SPE IPM Chapitre 11; International audience

[SDV] Life Sciences [q-bio][SDE] Environmental SciencesPattern Recognition Receptors (PRR)plant innate immunity[SDV]Life Sciences [q-bio][SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyMicrobe Associated Molecular Patterns (MAMP)
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Récepteurs de l'immunité chez les plantes

2013

[SDV] Life Sciences [q-bio][SDE] Environmental SciencesVitis vinifera[SDV]Life Sciences [q-bio][SDE]Environmental SciencesPattern Recognition Receptor[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologyplant immunity
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Recherche de récepteurs de l’immunité des plantes et étude de l’impact de biostimulants sur leur expression et la résistance induite chez des organes…

2021

National audience; La stimulation des défenses immunitaires des plantes représente une stratégie durable deprotection des cultures qui pourrait permettre de réduire l’utilisation de pesticides chimiquesencore trop répandue en viticulture. Son principe réside en l’application, au contact des cellulesvégétales, de molécules élicitrices détectées comme des signaux de danger par la plante. Cessignaux de dangers peuvent être de différente nature et origine comme par exemple la chitine,un chito-oligosaccharide (COS) retrouvé dans les parois fongiques. Leur détection par desrécepteurs de l’immunité entraine une cascade de signalisation complexe, conduisant àl’activation de réactions de défense et …

[SDV] Life Sciences [q-bio]vigne (Vitis vinifera)immunité induiteLysM Receptors Kinases[SDV]Life Sciences [q-bio]Microbe-Associated Molecular PatternsPattern Recognition Receptorschito-oligosaccharides
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Impression 3D et propriété intellectuelle: Un aperçu français

2019

Technological developments and the expiry of patents in three-dimensional printing are making this technology less and less expensive and with increased performance. Now widespread in the manufacturing industry, 3D printing is about to cross the threshold of our homes. The dematerialization of objects into exchangeable digital files raises many questions about the enforcement of intellectual property rights in French Law.

[SHS.DROIT]Humanities and Social Sciences/Law[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SHS.DROIT] Humanities and Social Sciences/Law[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][SHS] Humanities and Social Sciences[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][SHS]Humanities and Social Sciences
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Photometric Gaussian Mixtures for Direct Virtual Visual Servoing of Omnidirectional Camera

2021

International audience

[SPI.AUTO] Engineering Sciences [physics]/Automatic[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMilieux_MISCELLANEOUS[SPI.AUTO]Engineering Sciences [physics]/Automatic
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Multi-Scale Feature Extraction for Vehicle Detection Using Phis-Lbp

2018

International audience; Multi-resolutionobjectdetectionfacesseveraldrawbacksincludingitshighdimensionalityproducedby a richer image representation in different channels or scales. In this paper, we propose a robust and lightweight multi-resolution method for vehicle detection using local binary patterns (LBP) as channel feature. Algorithm acceleration is done using LBP histograms instead of multi-scale feature maps and by extrapolating nearby scales to avoid computing each scale. We produce a feature descriptor capable of reaching a similar precision to other computationally more complex algorithms but reducing its size from 10 to 800 times. Finally, experiments show that our method can obt…

[SPI]Engineering Sciences [physics][SPI] Engineering Sciences [physics]Computer Science::Computer Vision and Pattern Recognitionfeatures pyramidsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFeature extractionvehicle detectiontextureLocal Binary Patterns
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